Publication Date
| In 2026 | 0 |
| Since 2025 | 8 |
| Since 2022 (last 5 years) | 82 |
| Since 2017 (last 10 years) | 156 |
| Since 2007 (last 20 years) | 226 |
Descriptor
Source
Author
| Hou, Huei-Tse | 6 |
| Evertson, Carolyn M. | 4 |
| Kang, Jina | 4 |
| Lewis, Timothy J. | 4 |
| Liu, Min | 4 |
| Dyson, Anne Haas | 3 |
| Emmer, Edmund T. | 3 |
| Hsu, Ting-Chia | 3 |
| Johnston, Lloyd D. | 3 |
| Lee, Ji-Eun | 3 |
| Ottmar, Erin | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 34 |
| Teachers | 30 |
| Researchers | 14 |
| Administrators | 5 |
| Counselors | 1 |
| Parents | 1 |
| Students | 1 |
Location
| Taiwan | 15 |
| Canada | 10 |
| China | 10 |
| United Kingdom | 8 |
| United States | 8 |
| Finland | 7 |
| California | 6 |
| Australia | 5 |
| Israel | 5 |
| New York | 5 |
| Turkey | 5 |
| More ▼ | |
Laws, Policies, & Programs
| Every Student Succeeds Act… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Gökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Karen Koner; J. Si Millican; Abigayle Weaver-Gerdes; Amy Villanova – Contributions to Music Education, 2024
The purpose of this study was to examine the impact of short-term mindfulness practices on self-regulation of practice routines in high school instrumental students. We implemented mindfulness techniques prior to at-home practice routines for high school instrumental students (N = 117) over 16 weeks. Using the four-factor model of self-regulation…
Descriptors: High School Students, Musical Instruments, Metacognition, Music Education
Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
Hsu, Ting-Chia; Abelson, Hal; Patton, Evan; Chen, Shih-Chu; Chang, Hsuan-Ning – International Journal of Computer-Supported Collaborative Learning, 2021
In order to promote the practice of co-creation, a real-time collaboration (RTC) version of the popular block-based programming (BBP) learning environment, MIT App Inventor (MAI), was proposed and implemented. RTC overcomes challenges related to non-collocated group work, thus lowering barriers to cross-region and multi-user collaborative software…
Descriptors: Self Efficacy, Behavior Patterns, Student Behavior, Programming
Pi, Zhongling; Zhang, Yi; Yu, Qiuchen; Yang, Jiumin – International Journal of Educational Technology in Higher Education, 2023
Synchronous online learning via technology has become a major trend in institutions of higher education, allowing students to learn from video lectures alongside their peers online. However, relatively little research has focused on the influence of these peers on students' learning during video lectures and even less on the effect of peer…
Descriptors: Students, Student Behavior, Behavior Patterns, Attention
Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
Lowery, Robyn Crowell; Borders, L. DiAnne; Ackerman, Terry A. – Journal of Multicultural Counseling and Development, 2020
Resistant behaviors in multicultural courses are a common dilemma within counselor education. On the basis of psychological reactance theory (J. W. Brehm, 1966), the authors created a multicultural training reactance scale to measure the construct. Exploratory factor analysis and initial reliability and validity data are presented, followed by…
Descriptors: Multicultural Education, Counselor Training, Validity, Measures (Individuals)
Zhu, Mona J. H.; Risko, Evan F. – Applied Cognitive Psychology, 2021
Although we are constantly making spatial decisions about where to place our objects and ourselves, few studies in psychology have investigated this phenomenon in-depth. In the current study, we examined how spatial decisions are made over time by tracking students' seating choices in classrooms over the course of a semester (i.e., 12 weeks). We…
Descriptors: Spatial Ability, Habit Formation, Decision Making, Semester System
Chen, Ken-Zen; Yeh, Hsiao-Han – Australasian Journal of Educational Technology, 2021
Forum discussions have been utilised widely as a means of facilitating learning interaction and social-knowledge construction in online learning. Much research has been conducted on the instructional interventions that benefit asynchronous discussions. Role-playing, or assigning roles to discussants, has been proven effective in promoting…
Descriptors: Discussion Groups, Interaction, Electronic Learning, Asynchronous Communication
Zhan, Zehui; Wu, Qianyi; Lin, Zhihua; Cai, Jiayi – Australasian Journal of Educational Technology, 2021
This study investigated the effect of classroom settings on teacher-student interaction in higher education by comparing the behavioural sequences in smart classrooms (SCs) and traditional multimedia classrooms (TMCs). Twenty in-classroom teaching sessions were randomly selected from six universities in South China, involving 1,043 students and 23…
Descriptors: Technology Uses in Education, Classroom Environment, Teacher Student Relationship, Behavior Patterns
Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
Mehmet Fatih Yigit – Journal of Learning and Teaching in Digital Age, 2025
Technology, while enhancing efficiency and effectiveness, also poses significant cyber threats and risks. Overcoming these challenges necessitates individuals to have high levels of cybersecurity awareness and to exhibit proper cybersecurity behaviors. Correspondingly, in recent years, the exploration of individual factors influencing…
Descriptors: Metacognition, Computer Security, Information Security, Student Behavior
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses

Peer reviewed
Direct link
